This paper examines the issue of developing semantics for agent communication languages. In particular, it considers the problem of giving a verifiable semantics for such language...
We consider a multi-agent system where each agent is equipped with a Bayesian network, and present an open framework for the agents to agree on a possible consensus network. The f...
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
We introduce the new paradigm of High-Level Non-Monotonic reasoning (HLNM). This paradigm is the consolidation of our recent results on disjunctions, sets, explicit and implicit ne...
Mauricio Osorio, Juan Carlos Nieves, Fernando Zaca...
In this paper, we propose the use of a neuro-fuzzy strategy to develop a Web personalization framework for the dynamic suggestion of URLs retained interesting for the currently co...
Giovanna Castellano, Anna Maria Fanelli, Paola Pla...